📊 Predicting Insurance Enrollment

A machine learning pipeline to analyze employee data and predict voluntary insurance enrollment.

🧾 Problem Statement

We aim to predict whether an employee will opt-in to a voluntary insurance plan using demographic and employment data. The dataset contains 10,000 synthetic records.

🔍 Exploratory Data Analysis

Analyzing patterns in enrollment by different groups.

🤖 Modeling

Using Logistic Regression and Random Forest to predict enrollment.

📌 Feature Importance

Understanding what drives enrollment decisions using Random Forest.

🔧 Hyperparameter Tuning

Improve model performance via grid search.

✅ Summary

Next Steps